Predicting Exploitability—Forecasts for Vulnerability Management

Security is overdue for actionable forecasts. Like predicting the weather, similar models should work for vulnerabilities. With some open source data and a clever machine learning model, Kenna Securities can predict which vulnerabilities attackers are likely to write exploits for. Their model has 90 percent accuracy, one the day a vulnerability is released.

Speaker: Michael Roytman

Michael Roytman is the Chief Data Scientist at Kenna Security, and has spoken at RSA Conference, SOURCE, Bsides, Metricon and SIRAcon. His work focuses on cybersecurity data science and Bayesian algorithms, and he serves on the board of the Society of Information Risk Analysts. He is also a Technical Advisor in the humanitarian space, having worked with Doctors Without Borders, the World Health Organization, and the UN. He is the Co-Founder and Board Chair of Dharma.ai, for which he landed on the 2017 Forbes 30 under 30 list. He holds an MS in operations research from Georgia Tech, and his home in Chicago houses an industrial-scale coffee roasting operation.